Our research shows that most AI use cases and emerging applications of virtual medical assistants seem to be divided into three main categories: Medical record navigation: When companies and medical professionals use machine learning and natural language processing to search, analyze, and record clinical data in patient electronic health records or EHRs. Medical transcription: When medical professionals use machine learning and natural language processing to transcribe clinical data recorded during patient visits. Medical information search: When the company develops machine learning algorithms for chatbots, it can provide consumers and healthcare professionals with personalized responses to search for medical information based on consumer or patient data. Below, we provide representative examples of each category and the current progress of each example (fundraising, pilot applications, etc.).
